PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-03-17 10:18:18.610520+00:00 (UTC)
In US/Central Time, this is 2024-03-17 05:18:18.610520-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/c32bbd177ff972f1d4cc820864696b4f57ea54bf278e44b6b3049741fefff0a3.png
We are just generating a random time serie here.
import pandas as pd
pd.DataFrame({'1': [1, 2, 3, 4, 1, 2, 3, 4]}).plot(title='Shakepeare')
<Axes: title={'center': 'Shakepeare'}>
../../_images/92a49538e66116fefe18b9bfe24e3a4ef066c1141b70113e35f963f028b113b4.png
../../_images/5744ae7bc03a6654b7c59ea80aa225e614b08b86d63c5cb3ae5fcb29005107c8.png
../../_images/976ea48146210c455846742a2fb9f98a0e4748bd7797b0c76046839e30400cba.png